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Hi, I'm Amara Nasir, an experienced data scientist and full-stack developer with over five years of experience in leveraging big data, machine learning, and business intelligence to create predictive models and actionable insights. I specialize in fraud detection systems and have a strong background in data engineering, model development, and feature engineering. I enjoy collaborating with cross-functional teams to integrate advanced analytics solutions seamlessly, continuously innovating to keep pace with the latest industry standards. With a passion for teaching, I've also worked as a lab instructor to help students understand data structures and their applications in machine learning.…Hi, I'm Amara Nasir, an experienced data scientist and full-stack developer with over five years of experience in leveraging big data, machine learning, and business intelligence to create predictive models and actionable insights. I specialize in fraud detection systems and have a strong background in data engineering, model development, and feature engineering. I enjoy collaborating with cross-functional teams to integrate advanced analytics solutions seamlessly, continuously innovating to keep pace with the latest industry standards. With a passion for teaching, I've also worked as a lab instructor to help students understand data structures and their applications in machine learning.

Amara Nasir

Data Scientist, Full Stack Developer, Developer

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Hi, I'm Amara Nasir, an experienced data scientist and full-stack developer with over five years of experience in leveraging big data, machine learning, and business intelligence to create predictive models and actionable insights. I specialize in fraud detection systems and have a strong background in data engineering, model development, and feature engineering. I enjoy collaborating with cross-functional teams to integrate advanced analytics solutions seamlessly, continuously innovating to keep pace with the latest industry standards. With a passion for teaching, I've also worked as a lab instructor to help students understand data structures and their applications in machine learning.…Hi, I'm Amara Nasir, an experienced data scientist and full-stack developer with over five years of experience in leveraging big data, machine learning, and business intelligence to create predictive models and actionable insights. I specialize in fraud detection systems and have a strong background in data engineering, model development, and feature engineering. I enjoy collaborating with cross-functional teams to integrate advanced analytics solutions seamlessly, continuously innovating to keep pace with the latest industry standards. With a passion for teaching, I've also worked as a lab instructor to help students understand data structures and their applications in machine learning.

Available to hire

Hi, I’m Amara Nasir, an experienced data scientist and full-stack developer with over five years of experience in leveraging big data, machine learning, and business intelligence to create predictive models and actionable insights. I specialize in fraud detection systems and have a strong background in data engineering, model development, and feature engineering.

I enjoy collaborating with cross-functional teams to integrate advanced analytics solutions seamlessly, continuously innovating to keep pace with the latest industry standards. With a passion for teaching, I’ve also worked as a lab instructor to help students understand data structures and their applications in machine learning.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Work Experience

DATA SCIENTIST at I2C INC

January 1, 2022 - June 18, 2024

At i2c, a distinguished fintech company, I specialize in fraud detection by leveraging machine learning and deep learning methodologies to develop and deploy advanced models aimed at identifying and preventing fraudulent activities. Responsibilities include feature engineering, developing statistical features from transaction data, creating ML pipelines, tuning models like Gradient Boosting Trees, LightGBM, Random Forest, and Decision Trees, and performing exploratory data analysis across millions of transactions. I collaborate closely with cross-functional teams for seamless system integration and innovate continuously to maintain current fraud detection standards.

SOFTWARE ENGINEER at Commit Labs

January 1, 2020 - December 31, 2022

Managed the end-to-end development of three web applications combining Drupal (PHP) with front-end technologies. Implemented RESTful APIs using PHP and Laravel, achieving a 20% reduction in bounce rates due to responsive design. Contributed to architectural decisions ensuring synergy between front-end and back-end components and reduced annual software maintenance costs by 15% through resource-efficient allocation.

INSTRUCTOR at National University of Computer & Emerging Sciences

January 1, 2017 - December 31, 2019

Served as Lab Instructor specializing in teaching the Data Structures course, providing students with theoretical and practical lab experience to strengthen understanding of data structures vital for machine learning algorithms, predictive modeling, and data analysis tasks.